AGN X3
Geekbench ML Score
175
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 08 2023 05:00 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | AGN X3 |
| Model ID | AGN X3 |
| Motherboard | board1 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Unisoc |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.82 GHz |
| Cluster 1 | 8 Cores @ 1.82 GHz |
| Memory Information | |
|---|---|
| Size | 7.45 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
116
12.4 IPS |
|
|
Image Classification (F16)
|
100% |
116
12.4 IPS |
|
|
Image Classification (I8)
|
81% |
208
22.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
240
1.48 IPS |
|
|
Image Segmentation (F16)
|
100% |
239
1.48 IPS |
|
|
Image Segmentation (I8)
|
89% |
547
3.38 IPS |
|
|
Pose Estimation (F32)
|
100% |
96
0.39 IPS |
|
|
Pose Estimation (F16)
|
100% |
90
0.36 IPS |
|
|
Pose Estimation (I8)
|
80% |
136
0.55 IPS |
|
|
Object Detection (F32)
|
100% |
164
5.76 IPS |
|
|
Object Detection (F16)
|
100% |
164
5.74 IPS |
|
|
Object Detection (I8)
|
52% |
282
9.89 IPS |
|
|
Face Detection (F32)
|
100% |
221
2.54 IPS |
|
|
Face Detection (F16)
|
100% |
218
2.51 IPS |
|
|
Face Detection (I8)
|
75% |
399
4.59 IPS |
|
|
Text Classification (F32)
|
100% |
153
60.5 IPS |
|
|
Text Classification (F16)
|
100% |
152
60.3 IPS |
|
|
Machine Translation (F32)
|
100% |
115
17.7 IPS |
|
|
Machine Translation (F16)
|
100% |
114
17.6 IPS |
